LINGUISTIC EVALUATION SYSTEM AND INSURANCE

Chih Hsun Hsieh () and Paul P. Wang
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Chih Hsun Hsieh: Department of Information Management, Aletheia University, 32, Chen-Li Street, Tamsui 251, Taipei, Taiwan, Republic of China
Paul P. Wang: Department of Electrical & Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA

New Mathematics and Natural Computation (NMNC), 2011, vol. 07, issue 03, 383-411

Abstract: There are much more publications in open literature on the topic of linguistic variables as compared with Computing With Words (CWW). This paper intends to change that situation by demonstrating the feasibility of a working system. In order to accomplish this goal, a very focused example of an insurance evaluation system, no matter how rudimentary, is presented. Lotfi A. Zadeh has persistently stressed the importance of CWW for a contemporary society and he is absolutely right on target. We have proceeded our project, taking the advantage of the previously established works of Chen, Hsieh and Wang, such as linguistic logic, uncertainty numbers modeling, fuzzifications and defuzzifications schemes, etc. Basically, the Linguistic Evaluating System (LES), consists of Linguistic Descriptions Evaluating Algorithm (LDEA), Linguistic Descriptions Base (LDB), and Fuzzy Knowledge Base (FKB). The previously published works on linguistic methodology and linguistic logic make it possible to develop our LDEA. This main algorithm intends to appraise the linguistic descriptions based upon the newly proposed preferred evaluation rules. In addition, the measuring evaluations of the linguistic descriptions, which have been based on the innovative combination of different IF-THEN fuzzy rules, which in term has been based upon the use of the linguistic distance measurements, reflected the preference of a humane expert. If then, only then, the desired user friendly applications of the essential thrust of risk assessment required for insurance industry has been finally realized.

Keywords: Linguistic variables; CWW; Computing With Words; natural language processing; risk assessments; insurance industry; linguistic logic; uncertain numbers; linguistic fuzzy numbers; linguistic modeling (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1142/S1793005711001998

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